Artificial Intelligence (AI) in Automotive Training Course

This live, instructor-led training in Slovakia (offered online or onsite) is designed for senior robotics engineers and AI researchers who aim to implement high-level path planning algorithms to optimize autonomous vehicle performance.

By the conclusion of the program, participants will have the ability to:

• Understand the core theoretical basis of advanced path planning methods.
• Deploy algorithms such as RRT*, A*, and D* for real-time navigation tasks.
• Optimize routing strategies for obstacle avoidance within dynamic settings.
• Integrate planning algorithms with sensor data to enhance navigational accuracy.
• Critically evaluate algorithm performance in real-world scenarios.

This live, instructor-led training program, conducted in Slovakia (either online or onsite), is specifically designed for advanced data scientists, AI experts, and automotive AI developers looking to build, train, and optimize AI models for autonomous driving applications.

Upon completing this training, participants will be equipped to:

• Understand the fundamentals of AI and deep learning as they apply to autonomous vehicles.
• Implement computer vision techniques for real-time object detection and lane following.
• Leverage reinforcement learning to support decision-making processes in self-driving systems.
• Integrate sensor fusion techniques to enhance perception and navigation capabilities.
• Create deep learning models for the prediction and analysis of driving scenarios.

This instructor-led, live training in Slovakia (online or onsite) is aimed at biologists who wish to understand how AlphaFold works and use AlphaFold models as guides in their experimental studies.

By the end of this training, participants will be able to:

• Understand the fundamental principles of AlphaFold.
• Learn the operational mechanics of AlphaFold.
• Gain skills in interpreting AlphaFold predictions and results.

This instructor-led, live training in Slovakia (online or onsite) is primarily aimed at engineers who wish to use AUTOSAR to design automotive components.

Upon completing this training, participants will be able to:

• Install and configure AUTOSAR.
• Establish a development workflow.
• Navigate the AUTOSAR environment with ease.
• Work efficiently within the framework.

This instructor-led, live training (online or onsite) is designed for intermediate-level embedded software developers and automotive engineers looking to utilize the AUTOSAR Classic Platform for the development, integration, and testing of standardized software components within electronic control units (ECUs).

Upon completion of this training, participants will be equipped to:

Install and configure AUTOSAR development tools, such as DaVinci Developer, EB Tresos, or ETAS ISOLAR-A/B.

Gain a thorough understanding of the AUTOSAR layered architecture and its basic software modules (BSW).

Design and implement AUTOSAR OS and communication stack (COM stack) solutions.

Utilize CANoe or comparable tools for simulation, testing, and diagnostics within an AUTOSAR framework.

This instructor-led, live training (available online or onsite) is designed for intermediate-level embedded software developers and automotive engineers seeking to master the configuration of AUTOSAR OS (based on OSEK/VDX) and the COM Stack to ensure reliable task scheduling and communication within automotive ECUs.

Upon completing this training, participants will be capable of:

• Grasping the AUTOSAR OS architecture and its scheduling policies
• Implementing and managing tasks, events, alarms, and counters
• Describing and configuring the layers of the COM Stack, including PDUR and communication services
• Explaining protocol stacks (CAN, LIN, FlexRay, Ethernet) and AUTOSAR's interaction with them
• Configuring OS and COM modules using industry-standard tools (Vector DaVinci or ETAS ISOLAR)
• Simulating and validating task and communication flows in an AUTOSAR-based ECU

This instructor-led, live training in Slovakia (online or onsite) is aimed at advanced-level safety engineers and automotive safety professionals who wish to develop comprehensive safety strategies for autonomous vehicles, including hazard analysis, functional safety assessments, and compliance with international standards.

By the end of this training, participants will be able to:

• Identify and assess safety risks associated with autonomous driving systems.
• Conduct hazard analysis and risk assessment using industry standards.
• Implement safety validation and verification methods for AV systems.
• Apply functional safety standards, such as ISO 26262 and SOTIF.
• Develop risk mitigation strategies for AV safety challenges.

This live, instructor-led session in Slovakia (online or onsite) targets intermediate-level AI developers and computer vision engineers aiming to build robust vision systems for autonomous driving applications.

By the end of this training, participants will be able to:

• Understand the fundamental concepts of computer vision in autonomous vehicles.
• Implement algorithms for object detection, lane detection, and semantic segmentation.
• Integrate vision systems with other autonomous vehicle subsystems.
• Apply deep learning techniques for advanced perception tasks.
• Evaluate the performance of computer vision models in real-world scenarios.

This instructor-led, live training in Slovakia (online or onsite) targets beginner-level professionals seeking to explore the ethical dilemmas and legal frameworks surrounding autonomous vehicles.

By the end of this training, participants will be able to:

• Comprehend the ethical implications of AI-driven decision-making in autonomous vehicles.
• Analyze global legal frameworks and policies regulating self-driving cars.
• Examine liability and accountability in the event of autonomous vehicle accidents.
• Evaluate the balance between innovation and public safety in autonomous driving laws.
• Discuss real-world case studies involving ethical dilemmas and legal disputes.

This instructor-led, live training in Slovakia (available online or onsite) is designed for intermediate-level professionals who wish to gain a comprehensive understanding of EV powertrain architectures, battery chemistry, battery management systems (BMS), and the factors affecting energy efficiency in electric vehicles.

By the end of this training, participants will be able to:

• Understand the structure and function of EV powertrains.
• Analyze different battery chemistries and their applications in EVs.
• Implement battery management techniques to enhance performance and safety.
• Evaluate energy efficiency in various EV configurations.

This instructor-led, live training in Slovakia (online or onsite) is designed for beginner-level professionals and enthusiasts who want to grasp the fundamental concepts, technologies, and applications of autonomous vehicles.

By the end of this training, participants will be able to:

• Comprehend the main components and operational principles of autonomous vehicles.
• Discover the roles of AI, sensors, and real-time data processing in self-driving systems.
• Evaluate various levels of vehicle autonomy and their practical applications.
• Review the ethical, legal, and regulatory dimensions of autonomous mobility.
• Acquire practical experience with autonomous vehicle simulations.

This instructor-led, live training in Slovakia (online or onsite) is aimed at advanced-level sensor fusion specialists and AI engineers who wish to develop multi-sensor fusion algorithms and optimize real-time navigation in autonomous systems.

By the end of this training, participants will be able to:

• Understand the fundamentals and challenges of multi-sensor data fusion.
• Implement sensor fusion algorithms for real-time autonomous navigation.
• Integrate data from LiDAR, cameras, and RADAR for perception enhancement.
• Analyze and evaluate fusion system performance under various conditions.
• Develop practical solutions for sensor noise reduction and data alignment.

This instructor-led, live training in Slovakia (online or onsite) is aimed at intermediate-level engineers, automotive professionals, and IoT specialists who wish to understand the role of sensors in self-driving cars, covering LiDAR, radar, cameras, and sensor fusion techniques.

By the end of this training, participants will be able to:

• Understand the different types of sensors used in autonomous vehicles.
• Analyze sensor data for real-time vehicle perception and decision-making.
• Implement sensor fusion techniques to improve vehicle accuracy and safety.
• Optimize sensor placement and calibration for enhanced autonomous driving performance.

This instructor-led, live training in Slovakia (online or onsite) targets intermediate-level network engineers and automotive IoT developers seeking to comprehend and deploy V2X communication technologies for autonomous vehicles.

Upon completion of this training, participants will be able to:

• Comprehend the core concepts of V2X communication.
• Evaluate V2V, V2I, V2P, and V2N communication models.
• Deploy V2X protocols including DSRC and C-V2X.
• Create simulations for connected vehicle ecosystems.
• Tackle cybersecurity and privacy challenges within V2X networks.